arXiv Open Access 2025

GO: The Great Outdoors Multimodal Dataset

Peng Jiang Kasi Viswanath Akhil Nagariya George Chustz Maggie Wigness +5 lainnya

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Abstrak

The Great Outdoors (GO) dataset is a multi-modal annotated data resource aimed at advancing ground robotics research in unstructured environments. This dataset provides the most comprehensive set of data modalities and annotations compared to existing off-road datasets. In total, the GO dataset includes six unique sensor types with high-quality semantic annotations and GPS traces to support tasks such as semantic segmentation, object detection, and SLAM. The diverse environmental conditions represented in the dataset present significant real-world challenges that provide opportunities to develop more robust solutions to support the continued advancement of field robotics, autonomous exploration, and perception systems in natural environments. The dataset can be downloaded at: https://www.unmannedlab.org/the-great-outdoors-dataset/

Topik & Kata Kunci

cs.RO

Penulis (10)

Peng Jiang

Kasi Viswanath

Akhil Nagariya

George Chustz

Maggie Wigness

Philip Osteen

Timothy Overbye

Christian Ellis

Long Quang

Srikanth Saripalli

Format Sitasi

APA MLA BibTeX

Jiang, P., Viswanath, K., Nagariya, A., Chustz, G., Wigness, M., Osteen, P. et al. (2025). GO: The Great Outdoors Multimodal Dataset. https://arxiv.org/abs/2501.19274

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓